diff --git a/detect.py b/detect.py
index b980aa5d..d3320a95 100644
--- a/detect.py
+++ b/detect.py
@@ -28,7 +28,7 @@ def detect(
 
     # Initialize model
     if ONNX_EXPORT:
-        s = (192, 320)  # onnx model image size (height, width)
+        s = (320, 192)  # onnx model image size (height, width)
         model = Darknet(cfg, s)
     else:
         model = Darknet(cfg, img_size)
@@ -119,9 +119,9 @@ def detect(
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
-    parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
+    parser.add_argument('--cfg', type=str, default='cfg/yolov3-tiny.cfg', help='cfg file path')
     parser.add_argument('--data-cfg', type=str, default='data/coco.data', help='coco.data file path')
-    parser.add_argument('--weights', type=str, default='weights/yolov3-spp.weights', help='path to weights file')
+    parser.add_argument('--weights', type=str, default='weights/yolov3-tiny.weights', help='path to weights file')
     parser.add_argument('--images', type=str, default='data/samples', help='path to images')
     parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
     parser.add_argument('--conf-thres', type=float, default=0.5, help='object confidence threshold')
diff --git a/utils/gcp.sh b/utils/gcp.sh
index b9028b05..7b5fbc9e 100755
--- a/utils/gcp.sh
+++ b/utils/gcp.sh
@@ -71,7 +71,7 @@ gsutil cp -r gs://sm4/supermarket2 .  # dataset from bucket
 rm -rf darknet && git clone https://github.com/AlexeyAB/darknet && cd darknet && wget -c https://pjreddie.com/media/files/darknet53.conv.74  # sudo apt install libopencv-dev && make
 ./darknet detector train ../supermarket2/supermarket2.data cfg/yolov3-spp-sm2-1cls.cfg darknet53.conv.74 -map -dont_show # train
 ./darknet detector train ../supermarket2/supermarket2.data cfg/yolov3-spp-sm2-1cls.cfg backup/yolov3-spp-sm2-1cls_last.weights  # resume
-python3 train.py --data ../supermarket2/supermarket2.data --cfg cfg/yolov3-spp-sm2-1cls.cfg --epochs 100 --num-workers 8 --img-size 320 --nosave  # train ultralytics
+python3 train.py --data ../supermarket2/supermarket2.data --cfg cfg/yolov3-spp-sm2-1cls.cfg --epochs 100 --num-workers 8 --img-size 320 --evolve  # train ultralytics
 python3 test.py --data ../supermarket2/supermarket2.data --weights ../darknet/backup/yolov3-spp-sm2-1cls_5000.weights --cfg cfg/yolov3-spp-sm2-1cls.cfg  # test
 gsutil cp -r backup/*.weights gs://sm4/weights  # weights to bucket